{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 动手学Python地理数据分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 一，shapely几何操作\n",
    "\n",
    "shapely是python中开源的几何对象库，支持Point(点)，LineString(线)，Polygon(面)等几何对象及相关空间操作。\n",
    "\n",
    "实践证明，它的以下一些功能特性非常常用：\n",
    "\n",
    "* 可以和numpy.array互相转换。\n",
    "\n",
    "* 可以轻松求线的长度(length)，面的面积（area)，对象之间的距离(distance),最小最大距离(hausdorff_distance)。\n",
    "\n",
    "* 可以轻松求几何对象之间的关系：相交(intersect)，包含(contain)，求相交区域(intersection)等。\n",
    "\n",
    "* 可以轻松对几何对象求几何中心(centroid),缓冲区(buffer),最小旋转外接矩形(minimum_rotated_rectangle)等。\n",
    "\n",
    "* 可以求线的插值点(interpolate),可以求点投影到线的距离(project),可以求几何对象之间对应的最近点(nearestPoint)\n",
    "\n",
    "* 可以轻松对几何对象进行旋转(rotate)和缩放(scale)。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-02T04:58:30.253794Z",
     "start_time": "2021-03-02T04:58:30.250466Z"
    }
   },
   "outputs": [],
   "source": [
    "from shapely import geometry as geo\n",
    "from shapely import wkt \n",
    "from shapely import ops\n",
    "import numpy as np \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**1，Point**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-02T04:58:08.620199Z",
     "start_time": "2021-03-02T04:58:08.608928Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "POINT (0 0)\n",
      "POINT (0 1)\n",
      "POINT (1 1)\n"
     ]
    },
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.04 -0.04 1.08 1.08\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,1.0)\"><g><circle cx=\"0.0\" cy=\"0.0\" r=\"0.0324\" stroke=\"#555555\" stroke-width=\"0.0108\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"0.0\" cy=\"1.0\" r=\"0.0324\" stroke=\"#555555\" stroke-width=\"0.0108\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"1.0\" cy=\"1.0\" r=\"0.0324\" stroke=\"#555555\" stroke-width=\"0.0108\" fill=\"#66cc99\" opacity=\"0.6\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654760278>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 创建Point对象\n",
    "pt1 = geo.Point([0,0])\n",
    "print(pt1) \n",
    "coord = np.array([0,1])\n",
    "pt2 = geo.Point(coord)\n",
    "print(pt2)\n",
    "pt3 = wkt.loads(\"POINT(1 1)\")\n",
    "print(pt3)\n",
    "\n",
    "#批量可视化\n",
    "geo.GeometryCollection([pt1,pt2,pt3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0\n",
      "0.0\n",
      "[(0.0, 0.0)]\n",
      "[0. 0.]\n"
     ]
    }
   ],
   "source": [
    "# 常用属性\n",
    "\n",
    "print(pt1.x) \n",
    "print(pt1.y)\n",
    "print(list(pt1.coords))  \n",
    "print(np.array(pt1)) #可以和np.array互转\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n"
     ]
    }
   ],
   "source": [
    "# 常用方法\n",
    "\n",
    "d = pt2.distance(pt1)\n",
    "print(d)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**2, LineString**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.28 -0.38 7.5600000000000005 0.76\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,0.0)\"><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.1512\" points=\"0.0,0.0 1.0,-0.1 2.0,0.1 3.0,-0.1 5.0,0.1 7.0,0.0\" opacity=\"0.8\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.linestring.LineString at 0x7fb654756f60>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 创建LineString对象\n",
    "line1 = geo.LineString([(0,0),(1,-0.1),(2,0.1),(3,-0.1),(5,0.1),(7,0)])\n",
    "line1 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"1.92 1.92 2.16 1.1600000000000001\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,5.0)\"><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.0432\" points=\"2.0,2.0 3.0,2.0 4.0,3.0\" opacity=\"0.8\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.linestring.LineString at 0x7fb654756be0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr = np.array([(2,2),(3,2),(4,3)])\n",
    "line2 = geo.LineString(arr)\n",
    "line2 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-2.24 -2.24 6.48 6.48\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,2.0)\"><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.12960000000000002\" points=\"-2.0,-2.0 4.0,4.0\" opacity=\"0.8\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.linestring.LineString at 0x7fb654756c50>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line3 = wkt.loads(\"LineString(-2 -2,4 4)\")\n",
    "line3 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.414213562373095\n",
      "[(2.0, 2.0), (3.0, 2.0), (4.0, 3.0)]\n",
      "[[2. 2.]\n",
      " [3. 2.]\n",
      " [4. 3.]]\n",
      "(2.0, 2.0, 4.0, 3.0)\n"
     ]
    }
   ],
   "source": [
    "# 常用属性\n",
    "print(line2.length) \n",
    "print(list(line2.coords)) \n",
    "print(np.array(line2))  #可以和np.array互转\n",
    "print(line2.bounds) #坐标范围"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"1.92 1.92 2.16 1.1600000000000001\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,5.0)\"><g><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.0432\" points=\"2.0,2.0 3.0,2.0 4.0,3.0\" opacity=\"0.8\" /><circle cx=\"3.085786437626905\" cy=\"2.2928932188134525\" r=\"0.0648\" stroke=\"#555555\" stroke-width=\"0.0216\" fill=\"#66cc99\" opacity=\"0.6\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654756f98>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "center = line2.centroid #质心\n",
    "geo.GeometryCollection([line2,center])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"1.92 1.92 2.16 1.1600000000000001\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,5.0)\"><g><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.0432\" points=\"2.0,2.0 3.0,2.0 4.0,3.0\" opacity=\"0.8\" /><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0432\" opacity=\"0.6\" d=\"M 2.0,2.0 L 4.0,2.0 L 4.0,3.0 L 2.0,3.0 L 2.0,2.0 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb656dce4a8>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bbox = line2.envelope #最小外接矩形\n",
    "geo.GeometryCollection([line2,bbox]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"1.912 1.512 2.3759999999999994 1.576\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,4.6)\"><g><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.047519999999999986\" points=\"2.0,2.0 3.0,2.0 4.0,3.0\" opacity=\"0.8\" /><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.047519999999999986\" opacity=\"0.6\" d=\"M 2.2,1.5999999999999999 L 4.199999999999999,2.5999999999999996 L 3.9999999999999996,3.0 L 2.0,2.0 L 2.2,1.5999999999999999 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb6553980b8>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rect = line2.minimum_rotated_rectangle #最小旋转外接矩形\n",
    "geo.GeometryCollection([line2,rect])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.9\n",
      "1.0\n",
      "4.242640687119285\n"
     ]
    }
   ],
   "source": [
    "# 常用方法\n",
    "\n",
    "d1 = line1.distance(line2) #线线距离\n",
    "print(d1)\n",
    "d2 = line1.distance(geo.Point([-1,0])) #线点距离\n",
    "print(d2)\n",
    "d3 = line1.hausdorff_distance(line2) #最小最大距离\n",
    "print(d3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.28 -0.38 7.5600000000000005 0.76\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,0.0)\"><g><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.1512\" points=\"0.0,0.0 1.0,-0.1 2.0,0.1 3.0,-0.1 5.0,0.1 7.0,0.0\" opacity=\"0.8\" /><circle cx=\"3.4815374003688935\" cy=\"-0.05184625996311064\" r=\"0.2268\" stroke=\"#555555\" stroke-width=\"0.0756\" fill=\"#66cc99\" opacity=\"0.6\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654760358>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pt_half = line1.interpolate(0.5,normalized=True) #插值\n",
    "geo.GeometryCollection([line1,pt_half])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5\n"
     ]
    }
   ],
   "source": [
    "ratio = line1.project(pt_half,normalized=True) #投影\n",
    "print(ratio)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LINESTRING (0 0, 1 -0.1, 2 0.1, 3 -0.1, 5 0.1, 7 0)\n",
      "LINESTRING (0 0, 7 0)\n"
     ]
    },
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.28 -0.28 7.5600000000000005 0.56\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,0.0)\"><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.1512\" points=\"0.0,0.0 7.0,0.0\" opacity=\"0.8\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.linestring.LineString at 0x7fb654760780>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line1_simplify = line1.simplify(0.5)  #化简 DouglasPucker算法\n",
    "print(line1)\n",
    "print(line1_simplify)\n",
    "line1_simplify "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"1.704 1.704 2.5920000000000005 1.5920000000000003\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,5.0)\"><g><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.05184000000000001\" points=\"2.0,2.0 3.0,2.0 4.0,3.0\" opacity=\"0.8\" /><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.05184000000000001\" opacity=\"0.6\" d=\"M 2.917157287525381,2.2 L 3.8585786437626903,3.1414213562373097 L 3.8731213431672713,3.1546020906725474 L 3.88888595339608,3.1662939224605093 L 3.905720652634801,3.176384252869671 L 3.923463313526982,3.1847759065022574 L 3.9419430645491076,3.191388067146442 L 3.9609819355967746,3.1961570560806463 L 3.980396571934088,3.1990369453344396 L 4.0,3.2 L 4.0196034280659125,3.1990369453344396 L 4.039018064403225,3.1961570560806463 L 4.058056935450892,3.1913880671464416 L 4.076536686473018,3.1847759065022574 L 4.0942793473652,3.176384252869671 L 4.11111404660392,3.166293922460509 L 4.126878656832729,3.1546020906725474 L 4.141421356237309,3.1414213562373097 L 4.154602090672547,3.126878656832729 L 4.166293922460509,3.1111140466039204 L 4.176384252869671,3.0942793473651995 L 4.184775906502257,3.076536686473018 L 4.191388067146442,3.0580569354508924 L 4.196157056080646,3.039018064403226 L 4.19903694533444,3.0196034280659125 L 4.2,3.0000000000000004 L 4.19903694533444,2.9803965719340884 L 4.196157056080646,2.960981935596775 L 4.191388067146442,2.941943064549108 L 4.184775906502257,2.9234633135269825 L 4.1763842528696715,2.905720652634801 L 4.166293922460509,2.88888595339608 L 4.154602090672548,2.8731213431672717 L 4.14142135623731,2.858578643762691 L 3.1414213562373097,1.8585786437626906 L 3.126878656832729,1.8453979093274526 L 3.1111140466039204,1.833706077539491 L 3.0942793473651995,1.823615747130329 L 3.076536686473018,1.8152240934977426 L 3.0580569354508924,1.8086119328535584 L 3.039018064403226,1.803842943919354 L 3.019603428065912,1.8009630546655606 L 3.0,1.8 L 2.0,1.8 L 1.9803965719340875,1.8009630546655606 L 1.9609819355967741,1.803842943919354 L 1.9419430645491071,1.8086119328535584 L 1.9234633135269819,1.8152240934977428 L 1.9057206526348003,1.8236157471303291 L 1.8888859533960793,1.833706077539491 L 1.8731213431672706,1.8453979093274528 L 1.8585786437626903,1.8585786437626906 L 1.8453979093274526,1.873121343167271 L 1.8337060775394909,1.8888859533960798 L 1.823615747130329,1.9057206526348005 L 1.8152240934977426,1.923463313526982 L 1.8086119328535581,1.9419430645491076 L 1.803842943919354,1.9609819355967744 L 1.8009630546655606,1.980396571934088 L 1.8,2.0 L 1.8009630546655606,2.019603428065912 L 1.803842943919354,2.0390180644032254 L 1.8086119328535581,2.0580569354508924 L 1.8152240934977426,2.076536686473018 L 1.823615747130329,2.0942793473651995 L 1.8337060775394909,2.1111140466039204 L 1.8453979093274524,2.1268786568327287 L 1.8585786437626903,2.1414213562373092 L 1.8731213431672706,2.1546020906725474 L 1.8888859533960791,2.166293922460509 L 1.9057206526348,2.1763842528696706 L 1.9234633135269814,2.184775906502257 L 1.941943064549107,2.1913880671464416 L 1.9609819355967737,2.196157056080646 L 1.980396571934087,2.199036945334439 L 1.9999999999999991,2.2 L 2.917157287525381,2.2 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654760978>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "buffer_with_circle = line2.buffer(0.2)  #端点按照半圆扩展\n",
    "geo.GeometryCollection([line2,buffer_with_circle])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"1.9143431457505076 1.7143431457505076 2.3127350647362945 1.5127350647362943\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,4.94142135623731)\"><g><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.04625470129472589\" points=\"2.0,2.0 3.0,2.0 4.0,3.0\" opacity=\"0.8\" /><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.04625470129472589\" opacity=\"0.6\" d=\"M 2.917157287525381,2.2 L 3.8585786437626903,3.1414213562373097 L 4.141421356237309,2.8585786437626903 L 3.1414213562373097,1.8585786437626906 L 3.126878656832729,1.8453979093274526 L 3.1111140466039204,1.833706077539491 L 3.0942793473651995,1.823615747130329 L 3.076536686473018,1.8152240934977426 L 3.0580569354508924,1.8086119328535584 L 3.039018064403226,1.803842943919354 L 3.019603428065912,1.8009630546655606 L 3.0,1.8 L 2.0,1.8 L 2.0,2.2 L 2.917157287525381,2.2 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb6547609b0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "buffer_without_circle = line2.buffer(0.2,cap_style=2) #端点不扩展\n",
    "geo.GeometryCollection([line2,buffer_without_circle])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"1.7006862915010152 1.7006862915010152 2.6814701294725873 1.681470129472589\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,5.082842712474619)\"><g><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.053629402589451744\" points=\"2.0,2.0 3.0,2.0 4.0,3.0\" opacity=\"0.8\" /><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.053629402589451744\" opacity=\"0.6\" d=\"M 2.917157287525381,2.2 L 3.8585786437626903,3.1414213562373097 L 4.0,3.2828427124746193 L 4.2828427124746185,3.0 L 3.1414213562373097,1.8585786437626906 L 3.126878656832729,1.8453979093274526 L 3.1111140466039204,1.833706077539491 L 3.0942793473651995,1.823615747130329 L 3.076536686473018,1.8152240934977426 L 3.0580569354508924,1.8086119328535584 L 3.039018064403226,1.803842943919354 L 3.019603428065912,1.8009630546655606 L 3.0,1.8 L 2.0,1.8 L 1.8,1.8 L 1.8,2.2 L 2.917157287525381,2.2 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654760b38>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "buffer_with_square = line2.buffer(0.2,cap_style=3) #端点按照方形扩展\n",
    "geo.GeometryCollection([line2,buffer_with_square])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"1.704 1.704 2.5920000000000005 1.5920000000000003\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,5.0)\"><g><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.05184000000000001\" points=\"2.0,2.0 3.0,2.0 4.0,3.0\" opacity=\"0.8\" /><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.05184000000000001\" opacity=\"0.6\" d=\"M 2.917157287525381,2.2 L 3.8585786437626903,3.1414213562373097 L 3.8731213431672713,3.1546020906725474 L 3.88888595339608,3.1662939224605093 L 3.905720652634801,3.176384252869671 L 3.923463313526982,3.1847759065022574 L 3.9419430645491076,3.191388067146442 L 3.9609819355967746,3.1961570560806463 L 3.980396571934088,3.1990369453344396 L 4.0,3.2 L 4.0196034280659125,3.1990369453344396 L 4.039018064403225,3.1961570560806463 L 4.058056935450892,3.1913880671464416 L 4.076536686473018,3.1847759065022574 L 4.0942793473652,3.176384252869671 L 4.11111404660392,3.166293922460509 L 4.126878656832729,3.1546020906725474 L 4.141421356237309,3.1414213562373097 L 4.154602090672547,3.126878656832729 L 4.166293922460509,3.1111140466039204 L 4.176384252869671,3.0942793473651995 L 4.184775906502257,3.076536686473018 L 4.191388067146442,3.0580569354508924 L 4.196157056080646,3.039018064403226 L 4.19903694533444,3.0196034280659125 L 4.2,3.0000000000000004 L 4.19903694533444,2.9803965719340884 L 4.196157056080646,2.960981935596775 L 4.191388067146442,2.941943064549108 L 4.184775906502257,2.9234633135269825 L 4.1763842528696715,2.905720652634801 L 4.166293922460509,2.88888595339608 L 4.154602090672548,2.8731213431672717 L 4.14142135623731,2.858578643762691 L 3.1414213562373097,1.8585786437626906 L 3.126878656832729,1.8453979093274526 L 3.1111140466039204,1.833706077539491 L 3.0942793473651995,1.823615747130329 L 3.076536686473018,1.8152240934977426 L 3.0580569354508924,1.8086119328535584 L 3.039018064403226,1.803842943919354 L 3.019603428065912,1.8009630546655606 L 3.0,1.8 L 2.0,1.8 L 1.9803965719340875,1.8009630546655606 L 1.9609819355967741,1.803842943919354 L 1.9419430645491071,1.8086119328535584 L 1.9234633135269819,1.8152240934977428 L 1.9057206526348003,1.8236157471303291 L 1.8888859533960793,1.833706077539491 L 1.8731213431672706,1.8453979093274528 L 1.8585786437626903,1.8585786437626906 L 1.8453979093274526,1.873121343167271 L 1.8337060775394909,1.8888859533960798 L 1.823615747130329,1.9057206526348005 L 1.8152240934977426,1.923463313526982 L 1.8086119328535581,1.9419430645491076 L 1.803842943919354,1.9609819355967744 L 1.8009630546655606,1.980396571934088 L 1.8,2.0 L 1.8009630546655606,2.019603428065912 L 1.803842943919354,2.0390180644032254 L 1.8086119328535581,2.0580569354508924 L 1.8152240934977426,2.076536686473018 L 1.823615747130329,2.0942793473651995 L 1.8337060775394909,2.1111140466039204 L 1.8453979093274524,2.1268786568327287 L 1.8585786437626903,2.1414213562373092 L 1.8731213431672706,2.1546020906725474 L 1.8888859533960791,2.166293922460509 L 1.9057206526348,2.1763842528696706 L 1.9234633135269814,2.184775906502257 L 1.941943064549107,2.1913880671464416 L 1.9609819355967737,2.196157056080646 L 1.980396571934087,2.199036945334439 L 1.9999999999999991,2.2 L 2.917157287525381,2.2 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654760cf8>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "buffer_round_join = line2.buffer(0.2,join_style=1) #圆弧连接\n",
    "geo.GeometryCollection([line2,buffer_round_join])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"1.704 1.704 2.5920000000000005 1.5920000000000003\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,5.0)\"><g><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.05184000000000001\" points=\"2.0,2.0 3.0,2.0 4.0,3.0\" opacity=\"0.8\" /><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.05184000000000001\" opacity=\"0.6\" d=\"M 2.917157287525381,2.2 L 3.8585786437626903,3.1414213562373097 L 3.88888595339608,3.1662939224605093 L 3.923463313526982,3.1847759065022574 L 3.9609819355967746,3.1961570560806463 L 4.0,3.2 L 4.039018064403225,3.1961570560806463 L 4.076536686473018,3.1847759065022574 L 4.11111404660392,3.166293922460509 L 4.141421356237309,3.1414213562373097 L 4.166293922460509,3.1111140466039204 L 4.184775906502257,3.076536686473018 L 4.196157056080646,3.039018064403226 L 4.2,3.0 L 4.196157056080646,2.9609819355967746 L 4.184775906502257,2.923463313526982 L 4.166293922460509,2.88888595339608 L 4.141421356237309,2.8585786437626903 L 3.082842712474619,1.8 L 2.0,1.8 L 1.9609819355967741,1.803842943919354 L 1.9234633135269819,1.8152240934977428 L 1.8888859533960793,1.833706077539491 L 1.8585786437626903,1.8585786437626906 L 1.8337060775394909,1.8888859533960798 L 1.8152240934977426,1.923463313526982 L 1.803842943919354,1.9609819355967744 L 1.8,2.0 L 1.803842943919354,2.0390180644032254 L 1.8152240934977426,2.076536686473018 L 1.8337060775394909,2.1111140466039204 L 1.8585786437626903,2.1414213562373092 L 1.8888859533960793,2.166293922460509 L 1.9234633135269819,2.1847759065022574 L 1.9609819355967741,2.1961570560806463 L 2.0,2.2 L 2.917157287525381,2.2 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654760da0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "buffer_angle_join = line2.buffer(0.2,join_style=2) #折角连接\n",
    "geo.GeometryCollection([line2,buffer_angle_join])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "POINT (2 2)\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "print(line2.intersects(line3)) #线线关系，是否相交\n",
    "print(line2.intersection(line3)) #线线交点\n",
    "print(line2.contains(geo.Point(2.5,2))) #点线关系"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**3，Polygon**\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.04 -0.04 1.08 1.08\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,1.0)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0216\" opacity=\"0.6\" d=\"M 0.0,0.0 L 1.0,0.0 L 1.0,1.0 L 0.0,1.0 L 0.0,0.0 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x7fb654780160>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 创建Polygon对象\n",
    "poly1 = geo.Polygon([(0,0),(1,0),(1,1),(0,1),(0,0)]) #起点和终点相同\n",
    "poly1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.08 -0.08 2.16 2.16\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,2.0)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0432\" opacity=\"0.6\" d=\"M 0.0,0.0 L 1.0,0.1 L 2.0,0.0 L 1.0,2.0 L 0.0,0.0 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x7fb654780390>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coords = np.array([(0,0),(1,0.1),(2,0),(1,2),(0,0)])\n",
    "poly2 = geo.Polygon(coords)\n",
    "poly2 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.08 -0.08 2.16 2.16\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,2.0)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0432\" opacity=\"0.6\" d=\"M 0.0,0.0 L 2.0,0.0 L 2.0,2.0 L 0.0,2.0 L 0.0,0.0 z M 0.5,0.5 L 1.5,0.5 L 1.5,1.5 L 0.5,1.5 L 0.5,0.5 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x7fb654760080>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#第一个括号是外部坐标，后面的是内部空洞坐标\n",
    "poly3 = wkt.loads(\"POLYGON((0 0,2 0,2 2,0 2,0 0),(0.5 0.5,1.5 0.5,1.5 1.5,0.5 1.5,0.5 0.5))\")\n",
    "poly3 \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.4 -0.4 10.8 10.8\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,10.0)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.21600000000000003\" opacity=\"0.6\" d=\"M 0.0,0.0 L 0.0,10.0 L 10.0,10.0 L 10.0,0.0 L 0.0,0.0 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x7fb6547800b8>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#从bbox创建polygon\n",
    "poly4 = geo.Polygon.from_bounds(0,0,10,10)\n",
    "poly4 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n",
      "4.0\n",
      "[[0. 0.]\n",
      " [1. 0.]\n",
      " [1. 1.]\n",
      " [0. 1.]\n",
      " [0. 0.]]\n",
      "(0.0, 0.0, 2.0, 2.0)\n"
     ]
    }
   ],
   "source": [
    "#常用属性\n",
    "print(poly1.area)  #面积\n",
    "print(poly1.length) #周长\n",
    "print(np.array(poly1.exterior))  #外围坐标点\n",
    "print(poly3.bounds) #坐标范围"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.08 -0.08 2.16 2.16\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,2.0)\"><g><circle cx=\"1.0\" cy=\"1.0\" r=\"0.0648\" stroke=\"#555555\" stroke-width=\"0.0216\" fill=\"#66cc99\" opacity=\"0.6\" /><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0432\" opacity=\"0.6\" d=\"M 0.0,0.0 L 2.0,0.0 L 2.0,2.0 L 0.0,2.0 L 0.0,0.0 z M 0.5,0.5 L 1.5,0.5 L 1.5,1.5 L 0.5,1.5 L 0.5,0.5 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654756ba8>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "center = poly3.centroid #几何中心\n",
    "geo.GeometryCollection([center,poly3]) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.08 -0.08 2.16 2.16\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,2.0)\"><g><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.0432\" points=\"0.0,0.0 2.0,0.0 2.0,2.0 0.0,2.0 0.0,0.0\" opacity=\"0.8\" /><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.0432\" points=\"0.5,0.5 1.5,0.5 1.5,1.5 0.5,1.5 0.5,0.5\" opacity=\"0.8\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.multilinestring.MultiLineString at 0x7fb654760f98>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "poly3.boundary #边缘"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.11199999999999999 -0.9119999999999999 2.824 3.024\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,1.2000000000000002)\"><g><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.06048\" opacity=\"0.6\" d=\"M 1.5999999999999999,-0.7999999999999999 L 2.5999999999999996,1.2000000000000002 L 1.0,2.0 L 0.0,0.0 L 1.5999999999999999,-0.7999999999999999 z\" /><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.06048\" opacity=\"0.6\" d=\"M 0.0,0.0 L 1.0,0.1 L 2.0,0.0 L 1.0,2.0 L 0.0,0.0 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb6547607b8>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "rect = poly2.minimum_rotated_rectangle #最小外接矩形\n",
    "geo.GeometryCollection([rect,poly2])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n",
      "True\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "# 常用方法\n",
    "r1 = poly2.contains(geo.Point(0,0)) #面点关系\n",
    "print(r1)\n",
    "\n",
    "r2 = poly2.intersects(geo.LineString([(0,0),(5,5)])) #面线关系\n",
    "print(r2)\n",
    "\n",
    "r3 = poly2.intersects(poly3) #面面关系\n",
    "print(r3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-2.24 -2.24 6.48 6.48\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,2.0)\"><g><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.12960000000000002\" opacity=\"0.6\" d=\"M 0.0,0.0 L 1.0,0.0 L 1.0,1.0 L 0.0,1.0 L 0.0,0.0 z\" /><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.12960000000000002\" points=\"-2.0,-2.0 4.0,4.0\" opacity=\"0.8\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654780588>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo.GeometryCollection([poly1,line3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.04 -0.04 1.08 1.08\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,1.0)\"><g><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0216\" opacity=\"0.6\" d=\"M 0.0,0.0 L 1.0,0.0 L 1.0,1.0 L 0.0,1.0 L 0.0,0.0 z\" /><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.0216\" points=\"0.0,0.0 1.0,1.0\" opacity=\"0.8\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654780048>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inter = poly1.intersection(line3) #面线交集\n",
    "geo.GeometryCollection([poly1,inter])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.08 -0.08 2.16 2.16\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,2.0)\"><g><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0432\" opacity=\"0.6\" d=\"M 0.0,0.0 L 1.0,0.0 L 1.0,1.0 L 0.0,1.0 L 0.0,0.0 z\" /><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0432\" opacity=\"0.6\" d=\"M 0.0,0.0 L 1.0,0.1 L 2.0,0.0 L 1.0,2.0 L 0.0,0.0 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654780080>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo.GeometryCollection([poly1,poly2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.04 -0.04 1.08 1.08\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,1.0)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0216\" opacity=\"0.6\" d=\"M 0.5,1.0 L 1.0,1.0 L 1.0,0.1 L 0.0,0.0 L 0.5,1.0 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x7fb654756dd8>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "poly1.intersection(poly2) #面面交集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.08 -0.08 2.16 2.16\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,2.0)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0432\" opacity=\"0.6\" d=\"M 1.0,0.1 L 1.0,0.0 L 0.0,0.0 L 0.0,1.0 L 0.5,1.0 L 1.0,2.0 L 2.0,0.0 L 1.0,0.1 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x7fb654760940>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "poly1.union(poly2) #面面并集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"0.42 -0.08 1.6600000000000001 2.16\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,2.0)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0432\" opacity=\"0.6\" d=\"M 0.5,1.0 L 1.0,2.0 L 2.0,0.0 L 1.0,0.1 L 1.0,1.0 L 0.5,1.0 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x7fb654760e80>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "poly2.difference(poly1) #面面补集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.08 -0.08 2.16 2.16\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,2.0)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0432\" opacity=\"0.6\" d=\"M 0.0,0.0 L 2.0,0.0 L 1.0,2.0 L 0.0,0.0 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x7fb6547809e8>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "poly2.simplify(0.5) #简化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.9\n",
      "3.3218704710783897\n",
      "0.8247437619385949\n"
     ]
    },
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"0.28845684029271884 0.18240698580453765 1.4230863194145624 1.4230863194145624\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,1.7879002910236377)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.02846172638829125\" opacity=\"0.6\" d=\"M 0.3411637410117767,0.23511388652359552 L 1.0,1.5527864045000421 L 1.6588362589882233,0.23511388652359552 L 1.0199007438041998,0.29900743804199786 L 1.0,0.30000000000000004 L 0.9800992561958002,0.29900743804199786 L 0.3411637410117767,0.23511388652359552 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x7fb654780f60>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(poly2.area)\n",
    "poly2_bigger = poly2.buffer(0.2) #外扩面积变大\n",
    "print(poly2_bigger.area)\n",
    "poly2_smaller = poly2.buffer(-0.2) #内扩面积变小\n",
    "print(poly2_smaller.area)\n",
    "poly2_smaller "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**4，其他几何对象**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.25132741228718347 -1.2361351652993915 6.785840131753954 2.472270330598783\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,0.0)\"><g><circle cx=\"0.0\" cy=\"0.0\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"0.6981317007977318\" cy=\"0.6427876096865393\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"1.3962634015954636\" cy=\"0.984807753012208\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"2.0943951023931953\" cy=\"0.8660254037844387\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"2.792526803190927\" cy=\"0.3420201433256689\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"3.490658503988659\" cy=\"-0.34202014332566866\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"4.1887902047863905\" cy=\"-0.8660254037844384\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"4.886921905584122\" cy=\"-0.9848077530122081\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"5.585053606381854\" cy=\"-0.6427876096865396\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"6.283185307179586\" cy=\"-2.4492935982947064e-16\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.multipoint.MultiPoint at 0x7fb6547892b0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# MultiPoint 多点\n",
    "\n",
    "x = np.linspace(0,2*np.pi,10)\n",
    "y = np.sin(x)\n",
    "points = [geo.Point(i,j) for i,j in zip(x,y)]\n",
    "multipoints = geo.MultiPoint(points ) \n",
    "multipoints\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.25132741228718347 -1.2361351652993915 6.785840131753954 2.472270330598783\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,0.0)\"><g><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.13571680263507907\" opacity=\"0.6\" d=\"M 4.886921905584122,-0.9848077530122081 L 4.1887902047863905,-0.8660254037844384 L 0.0,0.0 L 0.6981317007977318,0.6427876096865393 L 1.3962634015954636,0.984807753012208 L 2.0943951023931953,0.8660254037844387 L 6.283185307179586,-2.4492935982947064e-16 L 5.585053606381854,-0.6427876096865396 L 4.886921905584122,-0.9848077530122081 z\" /><g><circle cx=\"0.0\" cy=\"0.0\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"0.6981317007977318\" cy=\"0.6427876096865393\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"1.3962634015954636\" cy=\"0.984807753012208\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"2.0943951023931953\" cy=\"0.8660254037844387\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"2.792526803190927\" cy=\"0.3420201433256689\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"3.490658503988659\" cy=\"-0.34202014332566866\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"4.1887902047863905\" cy=\"-0.8660254037844384\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"4.886921905584122\" cy=\"-0.9848077530122081\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"5.585053606381854\" cy=\"-0.6427876096865396\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"6.283185307179586\" cy=\"-2.4492935982947064e-16\" r=\"0.2035752039526186\" stroke=\"#555555\" stroke-width=\"0.06785840131753954\" fill=\"#66cc99\" opacity=\"0.6\" /></g></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654780c18>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hull = multipoints.convex_hull  #凸包\n",
    "geo.GeometryCollection([hull,multipoints]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.28 -0.38 7.5600000000000005 3.66\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,2.9000000000000004)\"><g><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.1512\" points=\"0.0,0.0 1.0,-0.1 2.0,0.1 3.0,-0.1 5.0,0.1 7.0,0.0\" opacity=\"0.8\" /><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.1512\" points=\"2.0,2.0 3.0,2.0 4.0,3.0\" opacity=\"0.8\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.multilinestring.MultiLineString at 0x7fb654780e48>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# MultiLineString 多线\n",
    "multilines = geo.MultiLineString([line1,line2])\n",
    "multilines "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.08 -0.08 2.16 2.16\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,2.0)\"><g><path fill-rule=\"evenodd\" fill=\"#ff3333\" stroke=\"#555555\" stroke-width=\"0.0432\" opacity=\"0.6\" d=\"M 0.0,0.0 L 1.0,0.0 L 1.0,1.0 L 0.0,1.0 L 0.0,0.0 z\" /><path fill-rule=\"evenodd\" fill=\"#ff3333\" stroke=\"#555555\" stroke-width=\"0.0432\" opacity=\"0.6\" d=\"M 0.0,0.0 L 1.0,0.1 L 2.0,0.0 L 1.0,2.0 L 0.0,0.0 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.multipolygon.MultiPolygon at 0x7fb654780cc0>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# MultiPolygon 多面\n",
    "\n",
    "multipolys = geo.MultiPolygon([poly1,poly2])\n",
    "multipolys "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-2.24 -2.24 6.48 6.48\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,2.0)\"><g><circle cx=\"0.0\" cy=\"0.0\" r=\"0.19440000000000002\" stroke=\"#555555\" stroke-width=\"0.06480000000000001\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"0.0\" cy=\"1.0\" r=\"0.19440000000000002\" stroke=\"#555555\" stroke-width=\"0.06480000000000001\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"1.0\" cy=\"1.0\" r=\"0.19440000000000002\" stroke=\"#555555\" stroke-width=\"0.06480000000000001\" fill=\"#66cc99\" opacity=\"0.6\" /><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"0.12960000000000002\" points=\"-2.0,-2.0 4.0,4.0\" opacity=\"0.8\" /><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.12960000000000002\" opacity=\"0.6\" d=\"M 0.0,0.0 L 2.0,0.0 L 2.0,2.0 L 0.0,2.0 L 0.0,0.0 z M 0.5,0.5 L 1.5,0.5 L 1.5,1.5 L 0.5,1.5 L 0.5,0.5 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654780dd8>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# GeometryCollection 对象集合\n",
    "\n",
    "geoms = [pt1,pt2,pt3,line3,poly3]\n",
    "geo.GeometryCollection(geoms) #方便在jupyter 中对多个几何对象可视化\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**5，进阶操作** "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "以下是一些非常有用但是不属于某个类的方法的函数。\n",
    "\n",
    "* ops.nearest_points 求最近点\n",
    "\n",
    "* ops.split 分割线\n",
    "\n",
    "* ops.substring  求子串\n",
    "\n",
    "* affinity.rotate 旋转几何体\n",
    "\n",
    "* affinity.scale 缩放几何体\n",
    "\n",
    "* affinity.translate 平移几何体\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.24 -0.24 6.48 2.4800000000000004\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,2.0)\"><g><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.12960000000000002\" opacity=\"0.6\" d=\"M 0.0,0.0 L 2.0,0.0 L 1.0,1.0 L 0.0,0.0 z\" /><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.12960000000000002\" opacity=\"0.6\" d=\"M 4.0,0.0 L 6.0,0.0 L 6.0,2.0 L 4.0,2.0 L 4.0,0.0 z\" /><circle cx=\"2.0\" cy=\"0.0\" r=\"0.19440000000000002\" stroke=\"#555555\" stroke-width=\"0.06480000000000001\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"4.0\" cy=\"0.0\" r=\"0.19440000000000002\" stroke=\"#555555\" stroke-width=\"0.06480000000000001\" fill=\"#66cc99\" opacity=\"0.6\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654789c88>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from shapely import ops,affinity \n",
    "\n",
    "poly1 = geo.Polygon([(0,0),(2,0),(1,1),(0,0)])\n",
    "poly2 = geo.Polygon([(4,0),(6,0),(6,2),(4,2),(4,0)])\n",
    "\n",
    "p1,p2 = ops.nearest_points(poly1,poly2)\n",
    "\n",
    "geo.GeometryCollection([poly1,poly2,p1,p2]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.08130768281804422 -0.5366494840795237 2.1953074360871936 1.6179571668975679\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,0.5446581987385204)\"><g><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.04390614872174387\" opacity=\"0.6\" d=\"M 0.0,0.0 L 2.0,0.0 L 1.0,1.0 L 0.0,0.0 z\" /><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.04390614872174387\" opacity=\"0.6\" d=\"M 0.3006412628822279,-0.4553418012614795 L 2.0326920704511053,0.5446581987385204 L 0.6666666666666667,0.9106836025229591 L 0.3006412628822279,-0.4553418012614795 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb654780940>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "poly1_rot30 = affinity.rotate(poly1,30,origin = \"centroid\")\n",
    "geo.GeometryCollection([poly1,poly1_rot30])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-1.16 -0.66 4.32 2.32\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,0.9999999999999999)\"><g><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0864\" opacity=\"0.6\" d=\"M 0.0,0.0 L 2.0,0.0 L 1.0,1.0 L 0.0,0.0 z\" /><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0864\" opacity=\"0.6\" d=\"M -1.0,-0.5 L 3.0,-0.5 L 1.0,1.5 L -1.0,-0.5 z\" /></g></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.collection.GeometryCollection at 0x7fb6547890f0>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "poly1_scale = affinity.scale(poly1,xfact=2.0,yfact=2.0)\n",
    "\n",
    "geo.GeometryCollection([poly1,poly1_scale])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 二，geopandas常用操作"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "geopandas 是pandas在地理数据处理领域的扩展包，主要基于Pandas(普通数据处理), shapely(地理数据分析),fiona(地理数据读取),matplotlib(地理数据可视化)构建而成。 \n",
    "\n",
    "其核心数据结构是GeoSeries和GeoDataFrame。\n",
    "\n",
    "其中GeoSeries是pandas中的Series的一个子类，GeoDataFrame是Pandas中的DataFrame的一个子类。\n",
    "\n",
    "GeoSeries是一列有几何形状(Point,LineString,Polygon,MultiLineString,……)等构成的数据列。\n",
    "\n",
    "GeoDataFrame由多列Series或者GeoSeries组成，其中至少需要有一列为GeoSeries。\n",
    "\n",
    "并且需要设置其中的一列GeoSeries为当前活跃状态的GeoSeries，默认的地理数据分析操作都是对活跃状态的GeoSeries进行的。\n",
    "\n",
    "\n",
    "geopandas 的以下功能非常常用：\n",
    "\n",
    "* 1，文件读写\n",
    "\n",
    "* 2，空间查询\n",
    "\n",
    "* 3，坐标转换\n",
    "\n",
    "* 4，空间join\n",
    "\n",
    "* 5，地理数据可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: http://pypi.sankuai.com/simple\n",
      "Requirement already satisfied: geopandas in /conda/envs/notebook/lib/python3.6/site-packages (0.9.0)\n",
      "Requirement already satisfied: rtree in /conda/envs/notebook/lib/python3.6/site-packages (0.9.7)\n",
      "Requirement already satisfied: mapclassify in /conda/envs/notebook/lib/python3.6/site-packages (2.4.2)\n",
      "Requirement already satisfied: pyproj>=2.2.0 in /conda/envs/notebook/lib/python3.6/site-packages (from geopandas) (3.0.1)\n",
      "Requirement already satisfied: fiona>=1.8 in /conda/envs/notebook/lib/python3.6/site-packages (from geopandas) (1.8.18)\n",
      "Requirement already satisfied: pandas>=0.24.0 in /conda/envs/notebook/lib/python3.6/site-packages (from geopandas) (0.25.3)\n",
      "Requirement already satisfied: shapely>=1.6 in /conda/envs/notebook/lib/python3.6/site-packages (from geopandas) (1.7.0)\n",
      "Requirement already satisfied: networkx in /conda/envs/notebook/lib/python3.6/site-packages (from mapclassify) (2.3)\n",
      "Requirement already satisfied: scipy>=1.0 in /conda/envs/notebook/lib/python3.6/site-packages (from mapclassify) (1.2.3)\n",
      "Requirement already satisfied: numpy>=1.3 in /conda/envs/notebook/lib/python3.6/site-packages (from mapclassify) (1.16.6)\n",
      "Requirement already satisfied: scikit-learn in /conda/envs/notebook/lib/python3.6/site-packages (from mapclassify) (0.20.4)\n",
      "Requirement already satisfied: certifi in /conda/envs/notebook/lib/python3.6/site-packages (from pyproj>=2.2.0->geopandas) (2019.11.28)\n",
      "Requirement already satisfied: attrs>=17 in /conda/envs/notebook/lib/python3.6/site-packages (from fiona>=1.8->geopandas) (19.3.0)\n",
      "Requirement already satisfied: cligj>=0.5 in /conda/envs/notebook/lib/python3.6/site-packages (from fiona>=1.8->geopandas) (0.7.1)\n",
      "Requirement already satisfied: munch in /conda/envs/notebook/lib/python3.6/site-packages (from fiona>=1.8->geopandas) (2.5.0)\n",
      "Requirement already satisfied: click-plugins>=1.0 in /conda/envs/notebook/lib/python3.6/site-packages (from fiona>=1.8->geopandas) (1.1.1)\n",
      "Requirement already satisfied: six>=1.7 in /conda/envs/notebook/lib/python3.6/site-packages (from fiona>=1.8->geopandas) (1.15.0)\n",
      "Requirement already satisfied: click<8,>=4.0 in /conda/envs/notebook/lib/python3.6/site-packages (from fiona>=1.8->geopandas) (7.1.2)\n",
      "Requirement already satisfied: pytz>=2017.2 in /conda/envs/notebook/lib/python3.6/site-packages (from pandas>=0.24.0->geopandas) (2020.1)\n",
      "Requirement already satisfied: python-dateutil>=2.6.1 in /conda/envs/notebook/lib/python3.6/site-packages (from pandas>=0.24.0->geopandas) (2.8.1)\n",
      "Requirement already satisfied: decorator>=4.3.0 in /conda/envs/notebook/lib/python3.6/site-packages (from networkx->mapclassify) (4.4.2)\n"
     ]
    }
   ],
   "source": [
    "#!pip install geopandas rtree mapclassify "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd \n",
    "import shapely \n",
    "import geopandas as gpd \n",
    "from shapely import wkt \n",
    "from shapely import geometry as geo \n",
    "from matplotlib import pyplot as plt \n",
    "import rtree \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**1，GeoSeries常用操作**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    POINT (0.00000 0.00000)\n",
      "1    POINT (1.00000 1.00000)\n",
      "2    POINT (2.00000 3.00000)\n",
      "dtype: geometry\n"
     ]
    }
   ],
   "source": [
    "#1, 创建GeoSeries\n",
    "gsr_points = gpd.GeoSeries([geo.Point(0.0,0.0),geo.Point(1.0,1.0),geo.Point(2.0,3.0)]) \n",
    "print(gsr_points)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "area:\n",
      " 0    0.784137\n",
      "1    0.784137\n",
      "2    0.784137\n",
      "dtype: float64\n",
      "length:\n",
      " 0    3.140331\n",
      "1    3.140331\n",
      "2    3.140331\n",
      "dtype: float64\n",
      "total_bounds:\n",
      " [-0.5 -0.5  2.5  3.5]\n",
      "bounds:\n",
      "    minx  miny  maxx  maxy\n",
      "0  -0.5  -0.5   0.5   0.5\n",
      "1   0.5   0.5   1.5   1.5\n",
      "2   1.5   2.5   2.5   3.5\n",
      "centroid:\n",
      " 0    POINT (-0.00000 -0.00000)\n",
      "1      POINT (1.00000 1.00000)\n",
      "2      POINT (2.00000 3.00000)\n",
      "dtype: geometry\n",
      "distances:\n",
      " 0    0.000000\n",
      "1    0.914214\n",
      "2    3.105552\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "#2, 常用属性方法\n",
    "#注：一般来说GeoSeries和空间相关的属性和方法对于GeoDataFrame也是适用的\n",
    "gsr_polygons = gsr_points.buffer(0.5)\n",
    "print(\"area:\\n\",gsr_polygons.area)\n",
    "print(\"length:\\n\",gsr_polygons.length)\n",
    "print(\"total_bounds:\\n\",gsr_polygons.total_bounds)\n",
    "\n",
    "print(\"bounds:\\n\",gsr_polygons.bounds)\n",
    "print(\"centroid:\\n\",gsr_polygons.centroid)\n",
    "print(\"distances:\\n\",gsr_polygons.distance(geo.Point(0,0)))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9367028710>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = gsr_polygons.plot(figsize = (8,10),cmap = \"tab10\") \n",
    "gsr_points.plot(color = \"red\",ax = ax)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2，GeoDataFrame常用操作"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/conda/envs/notebook/lib/python3.6/site-packages/geopandas/geodataframe.py:577: RuntimeWarning: Sequential read of iterator was interrupted. Resetting iterator. This can negatively impact the performance.\n",
      "  for feature in features_lst:\n"
     ]
    }
   ],
   "source": [
    "### 1，文件读写\n",
    "\n",
    "#可以直接读geojson和shp等空间文件，也可以读含有geometry字段的csv文件\n",
    "dfraw = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
    "\n",
    "#保存成geojson\n",
    "dfraw.to_file(\"dfcountries.geojson\",driver = \"GeoJSON\")\n",
    "\n",
    "#读取geojson\n",
    "dfload = gpd.read_file(\"dfcountries.geojson\",bbox = [-180,-80,180,80]) #可以用bbox或mask过滤范围\n",
    "\n",
    "\n",
    "#保存成csv，继承pandas接口\n",
    "dfload.to_csv(\"dfcountries.csv\",index = False,sep = \"\\t\")\n",
    "\n",
    "\n",
    "#pandas读取csv,再转成GeoDataFrame\n",
    "dfcsv = pd.read_csv(\"dfcountries.csv\",sep = \"\\t\")\n",
    "dfcsv[\"geometry\"] = dfcsv[\"geometry\"].apply(wkt.loads)\n",
    "df = gpd.GeoDataFrame(dfcsv,geometry = \"geometry\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(139, 6)\n",
      "{'contains', 'touches', 'covers', None, 'crosses', 'contains_properly', 'within', 'overlaps', 'intersects'}\n"
     ]
    }
   ],
   "source": [
    "###2，空间查询\n",
    "\n",
    "#空间查询可以建立rtree快速找到某个范围内的对象，GeoSeries也具有该\n",
    "sindex = df.sindex \n",
    "\n",
    "#可以调用intersection方法用一个bbox（可以来自geom.bounds）来进行查询\n",
    "selected_ids = sindex.intersection(np.array([-120,-45,120,45]))\n",
    "\n",
    "#可以调用query方法用一个geometry来进行查询, 查询关系可以用 predicate指定('intersect','contains','within'等)\n",
    "\n",
    "query_ids = sindex.query(geo.Polygon.from_bounds(-120,-45,120,45))\n",
    "print(df.loc[query_ids,:].shape) \n",
    "\n",
    "#查看predicate可用的取值参数\n",
    "print(sindex.valid_query_predicates)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPSG:4326\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f936492bdd8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "###3，坐标转换\n",
    "\n",
    "# 设置坐标系\n",
    "dfwgs = df.set_crs(\"EPSG:4326\") #df.set_crs(epsg=4326)\n",
    "print(dfwgs.crs)  \n",
    "\n",
    "dfwgs.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPSG:3395\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f93649a2f98>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#转换成墨卡托\n",
    "dfmercator = dfwgs.to_crs(\"EPSG:3395\")\n",
    "print(dfmercator.crs)\n",
    "dfmercator.plot() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "### 4,空间join\n",
    "\n",
    "#空间join实际上是利用空间索引实现的。\n",
    "#两个GeoDataFrame通过几何之间的‘intersects’,‘contains’,'crosses'等关系可以建立配对关系，从而确定join逻辑。\n",
    "#join的类型可以是left,right或者inner \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfcountries = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
    "dfcities = gpd.read_file(gpd.datasets.get_path('naturalearth_cities'))\n",
    "dfjoin = gpd.sjoin(dfcities,dfcountries,op= 'intersects',how = \"left\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "### 5,可视化\n",
    "\n",
    "#利用GeoDataFrame可以像DataFrame那样方便地调用plot函数进行可视化操作。\n",
    "#和DataFrame的plot函数相比，GeoDataFrame的plot函数的kind参数在\"line\",\"bar\"等基础上增加了\"geo”类型的绘图类别。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9364854160>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline \n",
    "%config InlineBackend.figure_format = 'png'\n",
    "from matplotlib import pyplot as plt \n",
    "\n",
    "df = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
    "\n",
    "#绘制简单形状\n",
    "df.plot(kind=\"geo\",figsize = (16,13)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f93647b12b0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x936 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制属性\n",
    "%matplotlib inline \n",
    "%config InlineBackend.figure_format = 'png'\n",
    "\n",
    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
    "fig, ax = plt.subplots(1, 1,figsize = (16,13))\n",
    "divider = make_axes_locatable(ax)\n",
    "cax = divider.append_axes(\"right\", size=\"5%\", pad=0.1)\n",
    "\n",
    "df = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
    "df.plot(kind=\"geo\",column = \"gdp_md_est\",legend=True,ax = ax,cax = cax  ) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9362c97208>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#属性图考虑缺失值\n",
    "df = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
    "df.loc[np.random.choice(df.index, 20), 'pop_est'] = np.nan \n",
    "df.plot(column=\"pop_est\",figsize=(15, 10),scheme = 'Quantiles',legend=True,\n",
    "        missing_kwds={\"color\": \"lightgrey\",\"edgecolor\": \"red\",\"hatch\": \"///\",\"label\": \"Missing values\"} ) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9362d06f98>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#多图叠加\n",
    "dfcoutries = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
    "ax = dfcoutries.plot(kind=\"geo\",figsize = (16,13),color='white', edgecolor='black') \n",
    "dfcities = gpd.read_file(gpd.datasets.get_path('naturalearth_cities'))\n",
    "dfcities.plot(color = \"red\",ax = ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 三，坐标系变换"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**1，坐标系介绍**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "地理坐标系通常分为经纬度坐标系和投影坐标系两种。\n",
    "\n",
    "最常用的经纬度坐标系叫做WGS84国际坐标系(代号为EPSG:4326)。谷歌等国外地图机构通常用的都是WGS84坐标系存储地理数据。\n",
    "\n",
    "国内的国测局为了保密的原因，在WGS84坐标系上加了一个非线性坐标偏移加密，叫做GCJ02坐标系，俗称\"火星坐标系\"。国内除了百度以外的高德、腾讯等机构都是使用的GCJ09坐标系。\n",
    "\n",
    "百度地图在GCJ02坐标系上又加了一个偏移加密，叫做BD09坐标系。国内只有百度地图在使用BD09坐标系。\n",
    "\n",
    "经纬度坐标系之间的转换可以借助coord-convert这个库实现。\n",
    "\n",
    "投影坐标系最常用的是Web-Mercator(代号为EPSG:3857)坐标系。Mercator一般用来显示使用，它具有保角特性，但在高纬度地区有放大效果。\n",
    "\n",
    "此外，国内如果要较为精确地计算距离和角度，一般会使用(代号为EPSG:3415)国内平面坐标系。这个平面坐标系也是一种投影坐标系。\n",
    "\n",
    "经纬度坐标系和投影坐标系之间的转换可以用pyproj这个库实现。\n",
    "\n",
    "如果要对LineString，Polygon等几何对象逐点实施坐标转换，可以使用shapely.ops.transform 来调用坐标转换函数。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**2，范例代码**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install coord_convert "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "line_lnglat: LINESTRING (116.38 40.04, 116.4 40.1, 116.41 40.12)\n",
      "line_planar: LINESTRING (715076.6066109239 2650731.49247462, 716778.0441862883 2657814.397580099, 717645.8244277409 2660180.573489216)\n",
      "line_lnglat_back: LINESTRING (116.38 40.03999999956594, 116.4 40.09999999956577, 116.41 40.11999999956568) \n",
      "\n",
      "line_wgs84: LINESTRING (116.4 40.14, 116.42 40.15, 116.43 40.13)\n",
      "line_gcj02: LINESTRING (116.4062735375936 40.14141679078853, 116.426264812149 40.15141118292108, 116.4362487380191 40.13139916717333)\n",
      "line_wgs84_back: LINESTRING (116.3999999999657 40.13999999993943, 116.4200000000072 40.15000000000523, 116.4300000000259 40.13000000001951)\n"
     ]
    }
   ],
   "source": [
    "from pyproj import Transformer \n",
    "from coord_convert.transform import wgs2gcj, wgs2bd, gcj2wgs, gcj2bd, bd2wgs, bd2gcj \n",
    "from shapely import ops \n",
    "from shapely.geometry import LineString,Point,Polygon \n",
    "\n",
    "#经纬度转国内平面\n",
    "def lngLatToPlanar(lng,lat):\n",
    "    transformer = Transformer.from_crs(\"EPSG:4326\",\"EPSG:3415\",always_xy=True)  \n",
    "    x,y = transformer.transform(lng,lat)\n",
    "    return x,y\n",
    "\n",
    "#国内平面转经纬度\n",
    "def planarToLngLat(x,y):\n",
    "    transformer = Transformer.from_crs(\"EPSG:3415\",\"EPSG:4326\",always_xy=True)  \n",
    "    lng,lat = transformer.transform(x,y)\n",
    "    return lng,lat  #round(lng,6),round(lat,6)\n",
    "\n",
    "#墨卡托坐标系转经纬度\n",
    "def mercatorToLngLat(x,y):\n",
    "    transformer = Transformer.from_crs(\"EPSG:3857\",\"EPSG:4326\",always_xy=True)\n",
    "    lng,lat = transformer.transform(x,y)\n",
    "    return lng,lat  #round(lng,6),round(lat,6)\n",
    "\n",
    "#经纬度转墨卡托坐标\n",
    "def lngLatToMercator(lng,lat):\n",
    "    transformer = Transformer.from_crs(\"EPSG:4326\",\"EPSG:3857\",always_xy=True)  \n",
    "    x,y = transformer.transform(lng,lat)\n",
    "    return x,y\n",
    "\n",
    "\n",
    "#经纬度和国内平面互转\n",
    "line_lnglat = LineString([(116.38,40.04),(116.40,40.10),(116.41,40.12)])\n",
    "line_planar = ops.transform(lngLatToPlanar, line_lnglat)\n",
    "line_lnglat_back =  ops.transform(planarToLngLat, line_planar)\n",
    "print(\"line_lnglat:\",line_lnglat)\n",
    "print(\"line_planar:\",line_planar)\n",
    "print(\"line_lnglat_back:\",line_lnglat_back,\"\\n\")\n",
    "\n",
    "\n",
    "#WGS84和GCJ02坐标系互转\n",
    "line_wgs84 = LineString([(116.40,40.14),(116.42,40.15),(116.43,40.13)])\n",
    "line_gcj02 = ops.transform(wgs2gcj, line_wgs84)\n",
    "line_wgs84_back =  ops.transform(gcj2wgs, line_gcj02)\n",
    "print(\"line_wgs84:\",line_wgs84)\n",
    "print(\"line_gcj02:\",line_gcj02)\n",
    "print(\"line_wgs84_back:\",line_wgs84_back)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**3，脚本工具**\n",
    "\n",
    "pip install coord-convert\n",
    "\n",
    "安装了 coord_covert 库后，可以用命令行直接对shp、geojson等文件进行WGS84和GCJ02坐标系的转换。\n",
    "\n",
    "范例如下：\n",
    "\n",
    "~/temp > coord_covert gcj2wgs polyline_gcj.geojson polyline_wgs.geojson 100%██████████████████████████████████████████████████████| 219/219 [00:00<00:00, 550.93it/s]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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